Soil Moisture Active Passive dataset (SMAP). This dataset contains telemetry data and one-hot encoded vectors similar to the MSL dataset. It has also been released by NASA [1]}. However, in this case, the dataset is formed by 53 signals received from the Soil Moisture Active Passive satellite. The annotated training and testing data are provided. Nevertheless, as for the MSL dataset, similar inconsistencies regarding the experimental protocol can be remarked. For that reason, we propose using the protocol of [2]}, where each signal is considered to be a separate and independent multivariate sub-dataset. This leads to train and test on 53 different sub-datasets and reporting the obtained average performance.
